Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
1 Sep 2026 Job Information Organisation/Company ELLIS Institute Finland Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline
-
community. We are particularly interested in candidates with: Strong computational and bioinformatics expertise combined with interest in cancer biology and gene regulation. Background can be PhD or even MSc
-
doctoral degree in Electrical Engineering through the University of Vaasa’s Doctoral Programme following a separate application process. You will benefit from comprehensive training in research methods
-
Schleuning (Senckenberg Biodiversity and Climate Research Centre, Germany). Together, the team combines expertise in ecological networks, spatial ecology, conservation science, and biodiversity informatics
-
to maintaining a collaborative and supportive research environment. Your qualifications We are looking for an ambitious and highly motivated scientist with: A PhD in molecular biology, genetics, stem cell biology
-
and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
-
Sep 2026 - 20:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
-
you: A relevant PhD degree and preferably a completed postdoctoral period.Applicable fields: stream ecology, biogeochemistry, environmental science, environmental engineering (the last three mainly in
-
8 Aug 2026 Job Information Organisation/Company Itä-Suomen yliopisto Department The Faculty of Science, Forestry and Technology, Department of Technical Physics Research Field Physics Engineering
-
supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science